Electron density prediction for a four-million-atom aluminum system using machine learning, deemed to be infeasible using traditional DFT method. × Researchers from Michigan Tech and the University of ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Imagine having a super-powered lens that uncovers hidden secrets of ultra-thin materials used in our gadgets. Research led by University of Florida engineering professor Megan Butala enables a novel ...

A research team of mathematicians and computer scientists has used machine learning to reveal new mathematical structure within the theory of finite groups. By training neural networks to recognise ...

This schematic illustrates the MALIO software, a machine learning structure analysis tool designed to analyze and distinguish the local structures of BP I and BP II liquid crystal phases. By ...

A wave of recent research has brought robotic touch sensitivity closer to human fingertips than ever before, driven by ...

Collisions between marine vessels and stationary structures, like offshore oil platforms and depleted wellheads, are becoming increasingly common. These collisions come with a cost—including the ...

How people with compromised immune systems respond to vaccines is an important area of immunological research. A study led by York University has found that not only could machine-learning models ...